This course will provide you will the tools necessary to complete the final components of the analyze phase as well as the improve and control phases of the Six Sigma DMAIC (Define, Measure, Analyze, Improve, and Control) process. This course is the final course in the Six Sigma Yellow Belt Specialization. You will learn about relationships from data using correlation and regression as well as the different hypothesis terms in hypothesis testing. This course will provide you with tools and techniques for improvement. You will also understand the importance of a control plan, as well as its key characteristics, for maintaining process improvements. Every module will include readings, discussions, lecture videos, and quizzes to help make sure you understand the material and concepts that are studied.
Our applied curriculum is built around the latest handbook The Certified Six Sigma Handbook (2nd edition) and students will develop /learn the fundamentals of Six Sigma. Registration includes online access to course content, projects, and resources but does not include the companion text The Certified Six Sigma Handbook (2nd edition). The companion text is not required to complete the assignments. However, the text is a recognized handbook used by professionals in the field. Also, it is a highly recommended text for those wishing to move forward in Six Sigma and eventually gain certification from professional agencies such as American Society for Quality (ASQ).

From the lesson

Hypothesis Testing

This the final module that covers the Analysis phase of the DMAIC process. Now that you have collected the data and calculated it you will need to determine how to make a statistical conclusion about your findings. In this module you will learn more about the importance of hypothesis testing, how to correctly do a hypothesis test reading as well as how to avoid errors, and statistical significance.